A Novel Three-Factor Authentication Protocol for Multiple Service Providers in 6G-Aided Intelligent Healthcare Systems

Le, Tuan‐Vinh; Lu, Chung-Fu; Hsu, Chien-Lung; Trung, K.; Chou, Yen-Fang; Wei, Wei-Cheng

doi:10.1109/access.2022.3158756

Cited by 20 publications

(11 citation statements)

References 35 publications

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“…Based on [56], 6G technology has a high level of mobility, a high data rate, a high operating frequency, and a very low level of latency from beginning to finish. Advantages that 6G has over 5G might help turn smart healthcare into an advanced intelligent system that is capable of efficiently resolving a number of challenges and worries (e.g., slow ambulance response).…”

Section: High-speed Data Communication With Node Mobilitymentioning

confidence: 99%

“…A recent research [35,56] argues that blockchain technology might be used for decentralised data management and access control in Internet of Things devices. Edge servers will be unable to maintain the whole blockchain due to the large volume of data and transactions they must handle.…”

Section: Qos With Blockchain In Iotmentioning

confidence: 99%

“…As stated by [89] [31] Medium Low Medium Medium High Blockchain 3.0 and Healthcare 4.0(B3H4) [54] Very High Medium High Medium Very high Centreless User-Controlled Single Sign-On [56] High High Medium Low High Physically Unclonable Functions [135] Medium Medium High High Very High GAN [133] Very High High High Very High Very High Distributed IP Mobility Management [104] High Low Medium Very High High Student Health Services [4] High High High High Medium Software-defined networking [26] High Medium High Very High High Blockchain Technology-Fog [39] Very High Medium Medium Very High Very High AC PBS [11] Medium High Medium High Medium Software-defined networking ALAM [72] High High Low Very High High Software-Defined Networking [109] Medium Medium Medium Very High High STS [132] High Medium Medium High Medium Authentication and Key Agreement [22] Medium High Low High Medium SDSec [43] Medium High High Medium High OSCORE [123] High Medium Medium High High BAKMP [29] High High High High Medium Blockchain-based Fog IoT Microservice [125] Medium High High Medium High LDUGN [136] High High Medium High Medium LiTi Chain [76] High Medium High High Very High HLF attribute-based access control [113] Very High Medium Medium Medium High IoV Chain [65] High High High High Very High Space-Air-Ground-IoT [124] High High Medium Medium High Block BDM [137] High Medium High Medium Very High Border Chain [79] High High High High Very High IoT Deep Learning [49] Very High High Medium High Very High DBACP IoT SG [75] Very High High Medium Medium High UAPBC IoT [12] High High High High High DistB Condo [110] High Medium Low High High Dual Fog IoT [89] Medium Medium Medium Medium High MAMEC [59] High High Medium High High F...…”

Section: Review On Iot Security Models For Real-time Scenariosmentioning

confidence: 99%

“…Based on these layers, a wide variety of security models [31,34,54,56,135] are proposed by researchers, and each of them vary in terms of their qualitative & quantitative characteristics. A survey of these models in terms of their functional nuances, context-specific advantages, application based drawbacks, and deployment-specific future scopes is discussed in the next section of this text.…”

mentioning

confidence: 99%

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Statistical Analysis of Remote Health Monitoring Based IoT Security Models & Deployments From a Pragmatic Perspective

Ashok

Gopikrishnan

2023

IEEE Access

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Remote health monitoring-based Internet of Things (IoT) network security is a multidomain task, that involves identification of network attack, evaluation of mitigation strategies, design of performance aware data security models, integration of privacy models, and modelling of device-level security methods. Internal designs for each of these models is highly complex, and varies in terms of quantitative & qualitative performance measures. This is due to their variation in terms of design nuances, functional advantages, context-based limitations, and possible deployment-specific future scopes. Due to this variation, it is highly ambiguous to select these models for performance-specific IoT deployments. Moreover, these models also vary in terms of security level, Quality of Service (QoS) parameters, scalability performance, computational complexity, deployment costs, and other performance metrics. Thus, to identify optimum models, researchers & network designers are required to test & validate multiple security models for their deployments. Due to which, the cost & time to market for IoT devices is increased, thereby affecting viability of IoT products. To overcome these selection issues, an empirical survey of different IoT security models including blockchains, encryption techniques, hashing models, privacy preservation techniques, machine learning based security methods, etc. are discussed in this text. This text also discusses various attack mitigation models that provide node-level security, network-level security, physical security, & route-level security. This discussion will assist in initially evaluating different operating characteristics of these models, which will allow readers to identify most suited models for their application-specific use cases. This article also assesses the models' performance in terms of computational latency, energy consumption, security levels, deployment complexity, and scalability measures. These metrics are compared between different security models, which will further assist readers to identify optimum models for their performance-specific use cases. To further assist in model selection, this text proposes evaluation of a novel IoT Security Performance Rank (ISRP), that combines various performance metrics to form a singular rank which can be used to describe overall performance of these models. Readers will be able to consider optimal security approaches for new and current IoT installations based on this ranking.

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Section: High-speed Data Communication With Node Mobilitymentioning

confidence: 99%

Section: Qos With Blockchain In Iotmentioning

confidence: 99%

Section: Review On Iot Security Models For Real-time Scenariosmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Statistical Analysis of Remote Health Monitoring Based IoT Security Models & Deployments From a Pragmatic Perspective

Ashok

Gopikrishnan

2023

IEEE Access

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“…promises several advantages that can significantly transform smart healthcare into an advanced intelligent healthcare system with revolutionary consequences [59]. For example, 6G robotics can be used to perform surgery in such a way that remotely experienced surgeons can supervise the procedure using robotic systems with millisecond latency and high reliability [60].…”

Section: Emerging 6g and Healthcare Deliverymentioning

confidence: 99%

Telemedicine and Smart Healthcare—The Role of Artificial Intelligence, 5G, Cloud Services, and Other Enabling Technologies

Suleiman¹,

Adinoyi²

2023

IJCNS

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This paper discusses telemedicine and the employment of advanced mobile technologies in smart healthcare delivery. It covers the technological advances in connected smart healthcare, including the roles of artificial intelligence, machine learning, 5G and IoT platforms, and other enabling technologies. It also presents the challenges and potential risks that could arise from delivering connected smart healthcare services. Healthcare delivery is witnessing revolutions engineered by the developments in mobile connectivity and the plethora of platforms, applications, sensors, devices, and equipment that go along with it. Human society is evolving fast in response to these technological developments, which are also pushing the connectivity-providing sector to create and adopt new waves of network technologies. Consequently, new communications technologies have been introduced into the healthcare system and many novel applications have been developed to make it easier for sharing data in various forms and volumes within health-related services. These applications have also made it possible for telemedicine to be effectively adopted. This paper provides an overview of some of the recent developments within the space of mobile connectivity and telemedicine.

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5G and 6G Technologies for Smart City

Chhabra

Aiden

Sabharwal

et al. 2023

Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities

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A Novel Three-Factor Authentication Protocol for Multiple Service Providers in 6G-Aided Intelligent Healthcare Systems

Cited by 20 publications

References 35 publications

Statistical Analysis of Remote Health Monitoring Based IoT Security Models & Deployments From a Pragmatic Perspective

Statistical Analysis of Remote Health Monitoring Based IoT Security Models & Deployments From a Pragmatic Perspective

Telemedicine and Smart Healthcare—The Role of Artificial Intelligence, 5G, Cloud Services, and Other Enabling Technologies

5G and 6G Technologies for Smart City

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